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The determination of third order linear models from a seventh order nonlinear jet engine modelResults are presented that demonstrate how good reduced-order models can be obtained directly by recursive parameter identification using input/output (I/O) data of high-order nonlinear systems. Three different methods of obtaining a third-order linear model from a seventh-order nonlinear turbojet engine model are compared. The first method is to obtain a linear model from the original model and then reduce the linear model by standard reduction techniques such as residualization and balancing. The second method is to identify directly a third-order linear model by recursive least-squares parameter estimation using I/O data of the original model. The third method is to obtain a reduced-order model from the original model and then linearize the reduced model. Frequency responses are used as the performance measure to evaluate the reduced models. The reduced-order models along with their Bode plots are presented for comparison purposes.
Document ID
19900065826
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Lalonde, Rick J.
(Akron Univ. Akron, OH, United States)
Hartley, Tom T.
(Akron Univ. Akron, OH, United States)
De Abreu-Garcia, J. Alex
(Akron, University OH, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Subject Category
Cybernetics
Meeting Information
Meeting: IEEE International Conference on Systems Engineering
Location: Dayton, OH
Country: United States
Start Date: August 24, 1989
End Date: August 26, 1989
Sponsors: IEEE, Wright State Univ.
Accession Number
90A52881
Funding Number(s)
CONTRACT_GRANT: NAG3-778
Distribution Limits
Public
Copyright
Other

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